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Director of Applied Data Science
at causaLens
go back to Manager Jobs
- London
- fulltime
Summary
We are looking for a motivated and high-achieving Director of Applied Data Science based in London to join the team on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development.
We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.
Roles and Responsibilities
This is an exciting role for a smart, creative person with a strong technical background and to lead our Applied Data Science function. You work will include:
- Leading the implementation of research prototypes that go into the product
- Leading the relationship with existing customers
- Leading and coordinating the execution of Proof of Concepts and Pilots
- Transforming customer feedback to product ideas
- Drive customer success outcomes (upsell, renewals etc) from a technical point of view
- Define and Optimize Customer Lifecycle from onboarding to renewals
- Coordinating Customer Support Activities
Job Requirements
- Strong academic record (MEng, MSci, EngD or PhD)
- Quantitative Experience in Finance
- An excellent written and verbal communicator with a high level of business acumen
- Highly capable, self-motivated, collaborative and personable
- High integrity and drive
- Naturally curious and effective problem solver
- Ability to effectively work independently in a fast-moving environment
The Company
causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true AI. Its enterprise platform is used to transform leading businesses in Finance, IoT, Energy, Telecommunications and others.
Current machine learning approaches, including AutoML solutions, have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. For instance, in the case of predictions, they severely overfit and do not adapt when the environment changes. causaLens’ Causal AI Platform goes beyond predictions, providing transparent causal insights and suggesting actions that directly improve business KPIs.
causaLens is run by scientists and engineers, the majority holding a PhD in a quantitative field. Contact us on info@causaLens.com or follow us on LinkedIn and Twitter.
We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer.
causaLens in the News
- Best Deeptech Company 2019 - Artificial Intelligence Awards
- ‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance
- ‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes
- ‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times
- ‘Machine Learning Companies to watch in Europe’ - Forbes
- ‘Best Investment in Deeptech’ award - UK Business Angels Association awards
- ‘100 Most Disruptive UK Companies’ - Hotwire
- ‘causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire
Benefits
- The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
- Competitive remuneration
- Share option scheme
- Pension scheme
- 32 days paid holiday allowance (incl. bank holidays)
- Equipment you need to get the job done (MacBook Pro etc.)
- Good work-life balance
- Opportunities for continued learning and self-development, including courses, conferences and book budget
- Flexible work-from-home and remote days
- Cycle to work scheme
- Weekly journal club and knowledge sharing presentations
- Regular team outings, pizza Thursdays and annual company retreats
- Fruits, snacks and soft drinks in the office
- Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm
Logistics
Our interview process consists of screening interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being, they will take place online.
We will do our best to transparently communicate the process with successful candidates.